A2A (Agent2Agent)
Open protocol for agent-to-agent communication across vendors, frameworks, and platforms.
Who Launched It And Why
- A2A was announced by Google Cloud in April 2025 with broad partner participation across enterprise and AI ecosystems.
- It was created to solve the interoperability gap between agents built by different vendors/frameworks.
- A2A is designed to complement MCP by standardizing agent-to-agent collaboration while MCP handles agent-to-tool integration.
What It Is
- A2A defines capability discovery (Agent Cards), task lifecycle orchestration, artifact exchange, and status updates.
- It supports enterprise-ready patterns for long-running tasks and asynchronous progress signaling.
- The protocol uses established web standards to reduce integration friction with existing infrastructure.
Who It Is For
- Enterprise teams deploying specialist agents across departments and software estates.
- Platform architects designing multi-agent orchestration in vendor-diverse environments.
- Security/governance teams requiring standardized communication contracts and auditability.
How To Implement It
- Publish robust Agent Cards with clearly scoped capabilities, supported modalities, and auth requirements.
- Implement deterministic task lifecycle states and artifact schemas to support reliable delegation chains.
- Apply policy controls for cross-agent delegation, data sharing, and permission boundaries.
- Instrument retries, idempotency, and tracing for long-running workflows and partial failures.
CMS And Platform Implementation Playbook
WordPress
- Wrap editorial and content-analysis agents behind middleware; keep publish actions approval-gated.
- Expose only audited operations via plugin-backed endpoints to avoid uncontrolled mutations.
- Use queue-based async processing for longer A2A tasks like audits and remediation plans.
Shopify
- Use A2A for specialized agents (catalog intelligence, pricing, CX ops) while transactional writes stay policy-checked.
- Track artifact provenance for every recommendation/action so operators can verify source agents.
- Separate discovery/recommendation agents from order-affecting agents to reduce risk blast radius.
Webflow
- Coordinate strategy, content, and analytics agents against Webflow CMS through controlled integration services.
- Keep publish rights centralized and route agent outputs into draft/review queues.
- Use webhooks and workers for asynchronous agent coordination and status updates.
Headless Stacks
- Implement an A2A gateway/service mesh so each agent service can evolve independently.
- Adopt shared schemas for tasks/artifacts and distributed tracing across all agent hops.
- Enforce zero-trust auth with scoped credentials between internal and partner agent services.